Bayesian Confidence Intervals for Multiplexed Proteomics Integrate Ion-Statistics with Peptide Quantification Concordance, part 2

ABSTRACT: This study presents a mathematically rigorous approach that integrates peptide MS-signal and peptide-measurement agreement into an estimation of the true protein ratio and the associated confidence.We call our method BACIQ (Bayesian Approach to Confidence Intervals for protein Quantitation – pronounced BASIC).

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human) Escherichia Coli

SUBMITTER: Meera Gupta  

LAB HEAD: Martin wuehr

PROVIDER: PXD012285 | Pride | 2019-09-30

REPOSITORIES: Pride